01
Emergency Incident Response
Warehouses unresponsive, pipelines broken, or a credit spend spike that needs to stop now. A senior engineer joins a live bridge within 15 minutes.
Snowflake Support
24/7 Snowflake Support with a 15-Minute Emergency SLA
Last reviewed by Scott Sternloff
AceMQ supports Snowflake in production with cost governance as a core discipline, not an afterthought — runaway warehouse spend, query queuing under concurrency limits, and clustering keys that stopped matching your actual query filters. Every ticket reaches a named senior engineer.
Support quotes answered within 1 hour, by a senior engineer.
- min emergency SLA
- 15
- across Americas, EMEA, APAC
- 24/7
- enterprise customers
- 160+
- countries served
- 26+
Planning a build, upgrade or migration instead? See AceMQ Snowflake consulting and services.
Customers
Partners
Incident Triage
Snowflake problems we fix every week
These are real symptoms from real Snowflake production environments — and the first thing our engineers check when one comes in.
| Symptom you're seeing | What we check first | Typical resolution |
|---|---|---|
| Warehouse credit spend spikes with no change in traffic | Auto-suspend setting and QUERY_HISTORY for a runaway or looping query. Auto-suspend left too high, or disabled entirely, burns credits on idle compute that nobody notices until the bill arrives. | Under 1 hour |
| Queries queue for minutes under normal BI tool load | WAREHOUSE_LOAD_HISTORY for queuing time against warehouse size. A single undersized warehouse hitting its concurrency limit needs multi-cluster scale-out, not a bigger single warehouse. | 1–2 hours |
| A query scans far more micro-partitions than it should | Clustering depth via SYSTEM$CLUSTERING_INFORMATION against the query's actual filter predicates. A clustering key that doesn't match how the table is actually queried causes silent full-table scans. | 1–3 hours |
| Snowpipe ingestion backlog growing, data arriving late | COPY_HISTORY and pipe status for stalled notification integrations or a flood of tiny files. File size well under the recommended range multiplies per-file overhead. | 1–2 hours |
| Storage costs climbing with no new data volume | Time Travel and Fail-safe retention settings against actual recovery requirements. Long retention on high-churn tables accumulates storage nobody is using. | 2–4 hours |
| A role has access to data it shouldn't | Role hierarchy and future grants for a FUTURE GRANTS statement applied at the wrong scope — the most common cause of unintended access in Snowflake's RBAC model. | Under 2 hours |
| A Streams/Tasks pipeline silently stops producing output | Task history for skipped runs and stream staleness. A stream goes stale if it isn't consumed within the table's data retention window, and it fails silently unless monitored. | 1–3 hours |
| Cross-region replication lag keeps growing | Replication group refresh history and target account warehouse sizing. Lag traces back to an undersized replication warehouse more often than network latency. | 2–4 hours |
Resolution times reflect typical Snowflake engagements under an active AceMQ support contract. Every P1 closes with a written root-cause analysis.
What's Included
Everything in your Snowflake support contract
No add-on pricing for incidents. No per-ticket charges. One contract covers the whole surface.
- 02
Root Cause Analysis
Every P1 closes with a written RCA: what happened, why, the fix applied, and the configuration change that prevents recurrence.
- 03
Cost Governance
Warehouse sizing, auto-suspend policy, and multi-cluster configuration reviewed quarterly against actual usage patterns — this is the single most common reason enterprises bring us in.
- 04
Query Performance Tuning
Clustering key selection, pruning analysis, and warehouse concurrency tuning matched to your actual query patterns, not generic sizing guidance.
- 05
RBAC & Security Review
Role hierarchy audits, future grant scope review, and access pattern analysis to catch privilege creep before it becomes an incident.
- 06
Migration & Multi-Cloud Support
Snowflake deployment support across AWS, Azure, and GCP, plus migration planning from legacy warehouses into Snowflake.
Why AceMQ
What you get that you don't get elsewhere
Cost Discipline as a Core Service
Most Snowflake vendors treat cost review as an add-on. We run it as a standard quarterly discipline, because runaway warehouse spend is the single most common reason enterprises escalate.
Named Engineers, Zero Cold Start
The same senior engineers stay on your account. They know your warehouse topology and clustering strategy — so a P1 starts with diagnosis, not you re-explaining your environment.
No Tier-1 Triage Layer
You reach a senior Snowflake engineer directly by phone, email, or Slack. No help desk, no escalation approval process standing between you and a fix.
The Whole Lakehouse Triangle
We support Snowflake alongside Databricks and Starburst as a connected stack. Data movement problems between them get diagnosed end-to-end instead of stopping at 'that's the other system.'
Genuine Follow-the-Sun Coverage
Engineers across 26+ countries and every time zone. Your 3am credit spend alert is someone's mid-afternoon — no overnight skeleton crew.
Security Reviews, Not Just Performance
RBAC and access pattern review is a standard part of engagement, not a separate line item — because privilege creep causes more incidents than most teams realize.
We support Snowflake wherever it's deployed
Cloud, Kubernetes, bare metal, hybrid, and air-gapped — including environments where you can't give us outbound network access.
- Snowflake on AWS
- Snowflake on Azure
- Snowflake on GCP
- Snowpipe & Snowpipe Streaming
- Multi-cluster warehouses
- Snowflake Tasks & Streams
- Time Travel & Fail-safe
- External stages (S3 / ADLS / GCS)
- Data Sharing & secure views
- Hybrid cloud integrations
Escalation Path
Your first hour of a Snowflake outage
Every tier reaches a senior Snowflake engineer. There is no tier-1 triage layer to get through.
- 15 minfirst responseEmergencyProduction down, messages not flowing, queue manager failure
- 1 hourfirst responseCriticalSevere degradation, high error rates, approaching capacity
- 4 hoursfirst responseHighPerformance issues, configuration problems, non-critical failures
- Next Dayfirst responseStandardQuestions, guidance, best practices, non-urgent improvements
P1 escalation path
A replay of one P1, from the first page to the written root-cause analysis
T+Elapsed15:00
15-minute P1 response, 24/7.
A response time, not a resolution time.
- T+00:00Paged
P1 opened, on-call engineer paged
Phone, email or Slack reaches the on-call senior engineer directly, whether the incident is in RabbitMQ, Kafka, Redis, PostgreSQL or Kubernetes. No web form, no tier-1 queue.
- T+15:00Live
Senior engineer on your bridge
A senior engineer who already knows your environment joins a live bridge, so nobody has to re-explain your topology.
- T+30:00If needed
Specialists across the stack join
When an incident crosses components, the engineers who know each one join. For RabbitMQ, the path runs to the core team.
- AfterEvery P1
Written root-cause analysis
Root cause, the fix applied and the prevention steps, delivered after every P1.
Pricing
What does AceMQ Snowflake support cost?
AceMQ Snowflake support contracts typically run $24,000–72,000 a year, depending on SLA level, scope (number of clusters or nodes, and environments) and deployment (self-managed, cloud-managed or Kubernetes).
| What moves the price | How it changes the contract |
|---|---|
| SLA level | Business-hours cover costs less than 24/7 cover with a 15-minute emergency response. |
| Scope | More clusters or nodes, and more environments, make a larger contract. |
| Deployment | Self-managed, cloud-managed and Kubernetes estates need different amounts of hands-on work. |
Covering several technologies under one contract, for example RabbitMQ, Kafka and Redis, earns an aggressive discount.
Support In Practice
Snowflake problems we've already solved
Snowflake support and remediation work from AceMQ. Each card links to the full write-up: the account, what AceMQ diagnosed or changed, and the result.
Snowflake Query Spilling and Warehouse Queueing Remediation
Global Insurance Group
Resolving pipeline runtime blowouts caused by queries spilling to remote storage on undersized warehouses while concurrent jobs queued behind them.
Snowflake
dbt
Airflow
TerraformSnowflake Ingestion Pipeline Support
Retail Analytics Provider
Ongoing support for Snowpipe, stream, and task failures including stale streams past their retention window and silent partial-load conditions.
SnowflakeSnowpipeAirflow
S3Snowflake Clustering and Partition Pruning Assessment
Financial Market Data Provider
Assessment of clustering keys, micro-partition pruning, and table design on large tables where queries had begun scanning most of the data.
SnowflakedbtAirflowTerraform
Airbyte Connector Schema Drift Remediation
Retail Analytics Organization
Diagnosing an Airbyte connection that kept reporting success while the destination table quietly went stale after an upstream schema change.
Airbyte
PostgreSQLSnowflake
KubernetesdbtAirbyte Incremental Sync and Warehouse Cost Support
Subscription Software Provider
Stopping an Airbyte connection that kept dropping out of incremental mode and re-running full refreshes against a large table every night.
AirbytePostgreSQLSnowflakeDebeziumSnowflake Warehouse Right-Sizing and Credit Consumption Consulting
Global Logistics Provider
Restructuring warehouse sizing, auto-suspend policy, and workload isolation to bring credit consumption in line with the work actually being done.
SnowflakedbtTerraformAirflow
Support options
Four tiers of Snowflake support.
AceMQ offers Snowflake support in four tiers, each handing more of the day-to-day work to AceMQ: 24/7 support and incident management for the account your team runs, proactive monitoring that finds credit and clustering problems first, managed Snowflake operations inside your own tenant, and fully managed Snowflake run on your behalf from an AceMQ-managed account and infrastructure, with the pipeline tooling around it. Accounts on AWS, Azure and GCP are covered in all four.
- Tier 1
Snowflake 24/7 Support & Incident Management
You run it, we back you up
- 15-minute P1 response, 24/7, from an engineer who reads Query Profiles
- Triage across warehouse, pipeline, role and storage faults
- The case prepared for Snowflake when the fault is inside the service
Best for: Data teams that run Snowflake themselves and need senior cover for production pipelines and spend spikes.
- Tier 2
Snowflake 24/7 Support with Proactive Monitoring
You run it, we watch it with you
- Quarterly credit reviews by warehouse, team and query tag
- Auto-suspend, multi-cluster and queuing checks on every warehouse
- Clustering, retention and stale-stream checks on large tables
Best for: Teams that want the runaway warehouse found in a review rather than on next month's invoice.
- Tier 3
Managed Snowflake on Your Infrastructure
We run it in your cloud or data centre
- AceMQ holds the pager for failed tasks, Snowpipe lag and warehouse queuing
- Warehouse, role and resource monitor changes through reviewed change requests
- Credit attribution by team for chargeback
Best for: Regulated estates that want the account run by specialists but owned by their own organisation.
- Tier 4
Fully Managed Snowflake on AceMQ Infrastructure
We host it and run it, as a service
- Connectors and ingestion agents run and monitored by AceMQ
- Orchestration hosted on AceMQ infrastructure
- Pipeline lag, failures and credit alerts routed to one on-call
Best for: Teams that want Snowflake and the platform around it run for them, without building a pipeline operations team.
| Who does what | Tier 1 24/7 support | Tier 2 Proactive monitoring | Tier 3 Managed, your infrastructure | Tier 4 Fully managed by AceMQ |
|---|---|---|---|---|
| Who runs Snowflake day to day? | Your team | Your team, with AceMQ reviews | AceMQ | AceMQ |
| Where does it run? | Your infrastructure | Your infrastructure | Your cloud account or data centre | AceMQ infrastructure |
| 24/7 incident response | 15-minute P1 response | 15-minute P1 response | 15-minute P1 response | 15-minute P1 response |
| Health checks and CVE alerts | On request | Scheduled | Included | Included |
| Patching and upgrades | Your team, AceMQ advises | Planned with AceMQ | Done by AceMQ | Done by AceMQ |
| Monitoring and on-call | Your team | Your team | AceMQ | AceMQ |
| Data, keys and accounts | Yours | Yours | Yours | Your data, hosted by AceMQ |
Every Tier can start as an ad hoc engagement or an annual partnership, and you can move up or down a Tier as your team changes.
One partner for Snowflake
Everything else AceMQ does for Snowflake.
Support is one part of what AceMQ does for Snowflake. The same engineers deliver consulting, health checks, migrations and end-of-life cover, and support the systems that usually run next to it.
- ConsultingSnowflake consulting and services
- LifecycleEnd-of-life software support
- Enterprise supportOpen source support across your whole stack
- GuideSnowflake guide
Support for the rest of your stack
Messaging & Streaming
- RabbitMQ supportMessaging & Streaming
- Apache Kafka supportMessaging & Streaming
- IBM MQ supportMessaging & Streaming
- ActiveMQ supportMessaging & Streaming
- Azure Service Bus supportMessaging & Streaming
- Amazon SQS supportMessaging & Streaming
- Google Cloud Pub/Sub supportMessaging & Streaming
- Redpanda supportMessaging & Streaming
- Apache Pulsar supportMessaging & Streaming
- Message Queuing supportMessaging & Streaming
Databases & Caching
Search & Analytics
Lakehouse & Compute
Observability & Monitoring
Data Integration
Cloud & Containers
API Management
See support for all 51 technologiesShow fewer
Related services
What does AceMQ Snowflake support include?
Our Snowflake support covers 24/7 emergency incident response with a 15-minute SLA, root cause analysis on every P1, warehouse cost governance, query performance tuning, RBAC and security review, and migration or multi-cloud support. Every ticket is handled by a named senior engineer with no tier-1 triage layer.
How do you diagnose slow Snowflake queries?
We start with clustering key analysis against your actual query filters, since mismatched clustering is the most common cause of full-table scans that look like a performance problem but are really a data layout problem. From there we look at warehouse sizing, concurrency limits, and whether the query needs a different warehouse size versus more clusters.
Do you review Snowflake RBAC and access controls?
Yes. Role hierarchy and future grant scope reviews are a standard part of our support engagement, not a separate security audit product. Misapplied future grants are a common way roles accumulate access they shouldn't have, and we catch it before it becomes an incident.
We're considering migrating to Snowflake. Can you help plan that?
Yes. We plan and execute migrations into Snowflake from legacy data warehouses, including schema mapping, clustering strategy design from day one, and cost-aware warehouse sizing so you don't inherit the overrun patterns we spend most of our time fixing elsewhere.
How fast do you respond to a Snowflake production issue?
P1 emergencies — unresponsive warehouses, broken pipelines, a spend spike that needs to stop — get a 15-minute first response with a senior engineer joining a live bridge. P2 critical issues are 1 hour, P3 high-priority 4 hours, and P4 standard questions next business day. These are contractual targets.
How is AceMQ Snowflake support different from Snowflake's own support?
Snowflake's support covers the service itself: under its support policy a Severity 1 case gets a first response within 1 hour, or 15 minutes with the paid Priority Support level. It does not run your account. Warehouse sizing, clustering keys, role design, Snowpipe and task pipelines, and the credits they burn are your configuration, and that layer is what AceMQ Snowflake support covers. When a fault is inside the service, we prepare the case for Snowflake.
What does Snowflake's SLA cover, and what does it leave out?
Snowflake's published service level measures the availability of the service through query error rates, with usage credits as the remedy when it is missed, and it excludes problems caused by customer misuse or third-party technology. A pipeline that stalls because a warehouse is queuing, a task that silently stopped, or a role that lost a grant is not an SLA event. Our 15-minute emergency response and P2 to P4 targets cover exactly those incidents.
Can we work with AceMQ on Snowflake without a long contract?
Yes. AceMQ works on Snowflake in two ways: ad hoc engagements for a defined piece of work, such as a health check, an upgrade or an incident, or an annual partner engagement that covers 24/7 support, proactive reviews and named engineers. Many teams start ad hoc and move to an annual partnership once the first engagement is done.
How much does AceMQ Snowflake support or consulting cost?
Every AceMQ proposal is tailored to your requirements: your Snowflake environment, the SLA you need, the hours of cover and the scope of work. Most contracts run $24,000–72,000 a year, depending on the SLA, the scope and how Snowflake is deployed, with aggressive discounts when several technologies share one contract. Request a quote and AceMQ replies within 1 hour.
Let's talk
Your Next Snowflake Bill Shouldn't Be a Surprise
Reactive cover, proactive reviews, or AceMQ running Snowflake for you on your infrastructure or ours. A senior engineer scopes it with you, and quote requests are answered within 1 hour.
A senior Snowflake engineer, not a sales queueQuote requests answered within 1 hourAd hoc engagements or an annual partnership
Production incident right now?Email a Snowflake Architect
Get in Touch
Talk to a Snowflake Expert
Send us a message and we'll follow up within 1 hour — or book a free 30-min consultation directly.
305-204-2607info@acemq.com66 W. Flagler St. 9th Floor
Miami, FL 33130
Miami, FL 33130
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